Results 131 to 140 of about 5,395,350 (213)

Inverse Vulcanized Sulfur Polymer Composites From Poultry‐Industry Products and Lignocellulosic Biomass Waste

Journal of Applied Polymer Science, Volume 143, Issue 39, October 15, 2026.
This work explores the use of various fillers, including eggshell powder, feather meal, peanut hulls, and sawdust to reinforce a base binder GFS90 (comprised of 90 wt.% sulfur, 5 wt.% chicken fat, and 5 wt.% sunflower oil). The resulting composites showed impressive compressive strengths ranging from 15.3 to 36.2 MPa, making them a potential ...
Bárbara G. S. Guinati, Katelyn A. Tisdale, Rashmi N. Jayasinghe, Nicholas B. Ames, Ashlyn D. Smith, Rhett C. Smith   +5 more
wiley   +1 more source

Intelligent Distributed Optical Fiber Sensing in Transportation Infrastructures: Research Progress, Applications, and Challenges

Advanced Photonics Research, Volume 7, Issue 10, October 2026.
Distributed optical fiber sensing (DOFS) is reviewed as a transformative technology for intelligent monitoring of transportation infrastructures. Advances in sensing fibers, cable design, and data analytics are summarized alongside representative field applications.
Xin Gui, Fanhao Zeng, Yunchuan Zhang, Yiming Wang, Jiaqi Wang, Changjia Wang, Xuelei Fu, Sheng Li, Fang Liu, Lina Yue, Jinpeng Jiang, Zhengying Li   +11 more
wiley   +1 more source

Warm Mix Asphalt

Warm Mix Asphalt (WMA) technologies have potential to reduce the application temperature of Hot Mix Asphalt (HMA) and improve workability without compromising the performance of asphalt pavement. This promises various benefits, e.g.
Zaumanis, Mārtiņš
core  

Determining asphalt content for recycled asphalt pavement (RAP) materials. [PDF]

304-221The State of Oregon uses significant amounts of Recycled Asphalt Pavement (RAP) in dense-graded mixes on Statehighways. The design process for these mixes relies on accurately knowing the amount of asphalt cement in the RAPmaterials being used ...
Oregon. Dept. of Transportation. Research Unit, Thompson, Gary   +1 more
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Book Forum | Land of famished beings: West Papuan theories of hunger

The Australian Journal of Anthropology, EarlyView.
Margaret Jolly, Shiori Shakuto, Hatib Kadir, Veronica Koman, Hannah Della Bosca, Wensislaus Fatubun, Sophie Chao   +6 more
wiley   +1 more source

Optimization of Production Process Parameters and Anti‐Cracking Mechanism of Plant‐Mixed Hot Recycling Asphalt Mixture Through SCB‐DIC Testing

Applied Research, Volume 5, Issue 5, October 2026.
Mixed‐level orthogonal experiments and SCB‐DIC testing were conducted to evaluate the effects of six production parameters on the anti‐cracking performance of plant‐mixed hot recycled asphalt mixtures. Cracking evolution was characterized using FI, CIE, and ECR.
Kai Li, Yinghui Zhang, Zhenghao Liu, Zhigang Zhou   +3 more
wiley   +1 more source

Machine Learning‐Based Analysis and Prediction of the Influence of Meso‐Void Characteristics on Sound Absorption Coefficient of Porous Asphalt Concrete

Applied Research, Volume 5, Issue 5, October 2026.
This study integrates meso‐void characterization, statistical analysis, and machine learning to predict the sound absorption of porous asphalt concrete. Void‐ratio‐related features dominate prediction, while Extra Trees performs best among five evaluated models, supporting acoustic‐oriented PAC mixture design.
Yizhe Han, Xvfeng Wang, Shenxv Wang, Wenhua Wang, Zhan Wei, Jiaxiang Fang, Guangyong Wang   +6 more
wiley   +1 more source

Predicting Pavement Condition Index for Cold‐Region Highways Using an ENET‐XGBoost Coupled Model

Applied Research, Volume 5, Issue 5, October 2026.
An ENET–XGBoost framework combines regularized feature selection and nonlinear residual correction for cold‐region pavement prediction. Traffic loading dominates deterioration; the model achieved R2 = 0.969 in back‐calculation, while Markov and scenario analyses indicate a 25% risk of Fair‐or‐below condition in 2026 and PCI of 74.2–77.5 by 2028 ...
Zhanwen Xing, Haihui Li, Kai Chen, Shiquan Liu, Chunhua Su, Yongliang Du, Sijin Wei, Shuang Cao   +7 more
wiley   +1 more source

Multi‐Model Machine Learning Framework for Predicting Drainage Performance of Porous Asphalt Mixtures

Applied Research, Volume 5, Issue 5, October 2026.
A multi‐model machine learning framework predicts four drainage indicators of porous asphalt mixtures from 11 macro‐void and meso‐pore descriptors. The stacking ensemble achieves R2 > 0.999, identifying connected void ratio, total void ratio, and volumetric mean pore diameter as dominant design variables. ABSTRACT Porous asphalt mixtures (PAM), such as
Guangming Guo, Zhengchao Zhang, Fuyong Zhang, Guangyong Wang, Guoshan Liu, Kaidi Liu   +5 more
wiley   +1 more source

Attention‐Enhanced SegFormer for Pixel‐Level Concrete Crack Detection Under Complex Crack Conditions

Applied Research, Volume 5, Issue 5, October 2026.
AF‐SegFormer integrates a CBAM‐based channel–spatial attention mechanism into the SegFormer decoder for pixel‐level concrete crack detection. The model enhances crack‐related feature fusion and improves the detection of denser crack regions while maintaining relatively low computational cost compared with the CNN‐based comparative models.
Zhang Jing, Hong Qi
wiley   +1 more source